Multi-factor dimensionality reduction applied to a large prospective investigation on gene-gene and gene-environment
M Manuguerra1, G Matullo, F Veglia
1ISI Foundation, Torino Italy.
Carcinogenesis
|September 8, 2006
Summary
Complex diseases like cancer involve multiple genetic and environmental factors. This study used Multi-Factor Dimensionality Reduction (MDR) to identify gene-environment interactions linked to lung cancer, bladder cancer, and leukemia in non-smokers.
Area of Science:
- Environmental Epidemiology
- Genetic Epidemiology
- Cancer Research
Background:
- Complex multifactorial human diseases, such as cancer, are not adequately explained by single-locus effects.
- Investigating gene-environment and gene-gene interactions is crucial for understanding disease susceptibility.
Purpose of the Study:
- To apply the Multi-Factor Dimensionality Reduction (MDR) method to identify gene-environment interactions in non-smokers.
- To analyze genetic susceptibility in relation to air pollution and environmental tobacco smoke (ETS) for lung cancer, bladder cancer, and myeloid leukemia.
Main Methods:
- Utilized a case-control study nested within the EPIC cohort.
- Analyzed 36 gene variants (DNA repair and metabolic genes) and 3 environmental exposure variables (air pollution, ETS).
- Assessed interactions using prediction error percentage and cross-validation consistency (CVC).
Main Results:
- Identified a significant gene-environment association for lung cancer involving XRCC1, BRCA2 polymorphisms, and proximity to heavy traffic roads (26% prediction error).
- Found a significant 4-loci association for bladder cancer including APE1, RAD52, COMT, and MTHFR gene polymorphisms (22% prediction error).
- A 3-loci model was identified for leukemia involving RAD52, MnSOD, and CYP1A1 polymorphisms (31% prediction error).
Conclusions:
- The MDR method effectively identifies statistically stable interactions among multiple genetic and environmental factors.
- Gene-environment interactions play a significant role in the development of lung cancer, bladder cancer, and leukemia.
- Further research is needed to understand the biological mechanisms underlying these identified interactions.
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